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import time, asyncio |
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from openai import AsyncOpenAI |
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import uuid |
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import traceback |
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litellm_client = AsyncOpenAI( |
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api_key="sk-1234", |
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base_url="http://0.0.0.0:8000" |
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) |
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async def litellm_completion(): |
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try: |
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response = await litellm_client.chat.completions.create( |
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model="gpt-3.5-turbo", |
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messages=[{"role": "user", "content": f"This is a test: {uuid.uuid4()}"}], |
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) |
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return response |
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except Exception as e: |
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with open("error_log.txt", "a") as error_log: |
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error_log.write(f"Error during completion: {str(e)}\n") |
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pass |
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async def main(): |
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start = time.time() |
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n = 1000 |
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tasks = [litellm_completion() for _ in range(n)] |
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chat_completions = await asyncio.gather(*tasks) |
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successful_completions = [c for c in chat_completions if c is not None] |
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with open("error_log.txt", "a") as error_log: |
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for completion in chat_completions: |
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if isinstance(completion, str): |
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error_log.write(completion + "\n") |
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print(n, time.time() - start, len(successful_completions)) |
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if __name__ == "__main__": |
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open("error_log.txt", "w").close() |
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asyncio.run(main()) |
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